About the Role
We are looking for a Business Operations Associate to own the operational and data backbone of a core Everfit product area, keeping the team informed with the right metrics, clear requirements, and lightweight tooling.
This role sits at the intersection of operations, product, data, and AI. You will define and track the metrics that describe product and business health (sales, conversion funnels, user onboarding, AI feature quality), turn messy operational questions into clear analysis and requirements, and build lightweight tooling and reporting that lets the team move faster. You will work closely with Product Managers, Backend and Frontend Engineers, QA, Business Analysts, and the AI Engineering team, and you will present findings directly to leadership in the US and UK.
This is a hands-on role for someone who is comfortable reading event data, writing a tracking spec an engineer can implement without follow-up questions, evaluating AI feature output against clear criteria, applying AI tools to their own work every day, and sending a weekly report that stakeholders actually read.
Responsibilities
Business metrics and funnel analysis
- Own the definition, validation, and ongoing tracking of core business and product metrics: sales and conversion, user journey funnels and drop-off, onboarding and activation, and feature usage.
- Investigate drop-off points and anomalies, form hypotheses, and propose fixes with a clear way to measure impact.
- Support A/B test readouts with neutral, decision-ready framing for product and leadership.
Tracking and data integrity
- Write tracking specs (events, properties, naming) for new features and maintain the event inventory and naming standards.
- Validate that implemented events match the spec; flag gaps, duplicates, and broken funnels before they reach reporting.
- Act as the bridge between business questions and the data team: translate "why did sales drop last week" into concrete queries, cohorts, and dashboards.
Stakeholder reporting
- Produce recurring weekly and ad-hoc reports for assigned product areas (sales digest, funnel digest, feature usage, AI feature quality) for US/UK leadership and the VN product team.
- Summarize insights, risks, and recommended actions in a format that is scannable and consistent week over week.
AI feature quality and AI application
- Define and maintain evaluation rubrics and acceptance criteria for AI-powered features and AI-generated outputs (recommendations, generated content, classification, and similar).
- Run and coordinate evaluation workflows with the AI Engineering team; review prompt and logic changes from a business-quality perspective.
- Identify systematic quality issues and turn them into clear, prioritized improvement requests.
Requirements and cross-functional execution
- Translate business needs into execution-ready requirements and Jira tickets for Product, Backend, Frontend, and AI teams, including edge cases and success metrics.
- Keep initiatives moving: track timelines and dependencies, unblock decisions, and keep US and VN teams aligned across time zones.
- Maintain clear documentation of metric definitions, tracking specs, and operational logic in Confluence or shared systems.
Internal tooling and automation
- Build and maintain lightweight internal tools that remove manual work: dashboards, browser-based QC tools, scripts, and no-code automations (e.g. Slack-to-Jira workflows).
- Apply AI tools (Claude, ChatGPT, Gemini, and similar) across daily work: analysis, documentation, prompt design, and building small tools, and help the team adopt effective AI workflows.
Requirements
- 2 to 4 years of experience in business operations, product operations, business analysis, or data analysis, ideally at a SaaS or consumer tech company.
- Strong analytical skills: you can read funnel and event data, spot what is off, and explain why in plain language. Comfortable with Google Sheets at an advanced level (lookups, pivots, data cleaning) and with at least one product analytics tool (Amplitude, Mixpanel, or similar).
- Ability to write clear, structured requirements and specs that engineers can implement without back-and-forth. Experience working in Jira and Confluence or equivalent.
- Experience owning recurring stakeholder reporting and presenting findings to senior or cross-time-zone audiences.
- Excellent written and verbal communication in English; most reporting and stakeholder communication is in English.
- Proactive and resourceful: you take ownership of ambiguous problems, break them down, and follow through to a usable outcome.
- Strong ability to use and apply AI tools in daily work (analysis, writing, prompting, light automation) and curiosity about how AI features behave in production.
Preferred Skills
- Experience with event tracking design (naming conventions, event and property definitions) and validating tracking implementations.
- Experience evaluating or QA-ing AI-generated output against rubrics, or working on prompt and feature logic with an AI team.
- Basic SQL, or basic JavaScript or Python, or hands-on experience with no-code automation tools (Make, Pipedream, Apps Script, Zapier). Enough to build small tools, not a developer role.
- Experience with marketplace, recommendation, or AI-powered products.
- Interest or experience in the health, fitness, or coaching industry is a plus.
Benefits
Compensation & Benefits:
- Competitive salary with 13th-month pay and performance bonus.
- Quarterly performance bonuses and year-end awards.
- Paid sick leave, maternity leave, and vacation days.
Work Environment:
- Agile-Scrum methodology with flexible work hours.
- Talented people from all over Vietnam and the world.
- International team for global career growth.
- State-of-the-art equipment provided.
- Beautiful working environment near Danang's city center (Dragon Bridge) and Hanoi office.
Health & Wellness:
- PVI health care program & annual health checks.
- Sports clubs (football, badminton) & company retreats.
- Modern pantry for relaxation.
Professional Growth:
- Training, mentoring & e-learning opportunities.
- 1-2 performance reviews annually.
- Potential opportunities to join a fast-growing company.
